Dr MINGLEI YOU MINGLEI.YOU@NOTTINGHAM.AC.UK
ASSISTANT PROFESSOR
Towards Distributed Cell-less MIMO Testbed: An RFNoC Implementation
You, Minglei; Chen, Tianrui; Zheng, Gan
Authors
Dr TIANRUI CHEN Tianrui.Chen1@nottingham.ac.uk
Postdoctoral Research Associate
Gan Zheng
Abstract
In this extended abstract, we will present a novel cell-less multiple-input multiple-output (MIMO) testbed design and an initial implementation based on the design. The key objective is to design a flexible and scalable architecture to facilitate the Artificial Intelligence (AI)-based beamforming solution, and offload computing extensive algorithms, especially the Channel State Information (CSI) estimation algorithms, to the Field Programmable Gate Arrays (FPGAs), which is to address the challenge for the local signal processing at the distributed Base Stations (BSs). An initial testbed implementation is presented, which has been evaluated in the lab environment with 2 singleantenna BSs and 2 single-antenna users.
Citation
You, M., Chen, T., & Zheng, G. (2022, June). Towards Distributed Cell-less MIMO Testbed: An RFNoC Implementation. Presented at 2022 EuCNC & 6G Summit, Grenoble, France
Presentation Conference Type | Conference Abstract |
---|---|
Conference Name | 2022 EuCNC & 6G Summit |
Start Date | Jun 7, 2022 |
End Date | Jun 10, 2022 |
Deposit Date | Jul 6, 2022 |
Publicly Available Date | Jul 12, 2022 |
Peer Reviewed | Peer Reviewed |
Public URL | https://nottingham-repository.worktribe.com/output/8395706 |
Publisher URL | https://www.eucnc.eu/2022/www.eucnc.eu/programme/special-sessions/special-session-5/index.html |
Related Public URLs | https://www.eucnc.eu/programme/special-sessions/special-session-5/ |
Files
1570804020 Final
(1.2 Mb)
PDF
You might also like
Robust gesture recognition method toward intelligent environment using Wi-Fi signals
(2024)
Journal Article
Federated Learning Enabled Link Scheduling in D2D Wireless Networks
(2023)
Journal Article
Combinatorial Optimization of Reconfigurable Intelligence Surfaces at Wireless Endpoints using the Ising Hamiltonian Model
(2023)
Presentation / Conference Contribution
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search